COVID-9 Detection Strategies: Recent Advances and Future Prospects

Simple item page
dc.contributor.advisorGhafar-Zadeh, Ebrahim
dc.contributor.authorShaffaf, Tina
dc.date.accessioned2022-03-03T14:01:47Z
dc.date.available2022-03-03T14:01:47Z
dc.date.copyright2021-10
dc.date.issued2022-03-03
dc.date.updated2022-03-03T14:01:47Z
dc.degree.disciplineBiology
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractCOVID-19 pandemic has created a global medical and economic crisis. Having many unsuspecting asymptotically carriers interacting with others increases the risk of infecting healthy people which leads to problems such as overloaded clinics and hospitals. These conditions make tracing the asymptotic carriers of COVID-19 and detecting all infected individuals rapidly and accurately critical for the control and further prevention of this disease. Considering the long duration of vaccine development, their low efficiency for protection against some of the viral variants, and lack of any drugs for efficient COVID-19 treatment, diagnostic tests are essential for detecting the infection and limiting the viral spread. Therefore, how to efficiently screen for positive patients with coronavirus 2019 has become the primary task for epidemic prevention. Due to the critical roles of the diagnostic tools in fighting the coronavirus disease, a large number of techniques have rapidly. This work, as a comprehensive review, aims to cover not only the currently approved nucleic acid- and protein-based diagnostic technologies, but also the promising strategies for COVID-19 detection and also fighting future hazards. The goal is to bring together the most important advances from the broad discipline of biomedical engineering, enhancing their visibility through opinion and new articles, and providing overviews of the state-of-the-art in each field.
dc.identifier.urihttp://hdl.handle.net/10315/39088
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectBiology
dc.subject.keywordsCOVID-19
dc.subject.keywordsSARS-CoV-2
dc.subject.keywordsDiagnostics
dc.subject.keywordsNucleic acid-based tests
dc.subject.keywordsProtein-based tests
dc.titleCOVID-9 Detection Strategies: Recent Advances and Future Prospects
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
York_M.Sc_Thesis_Shaffaf.Tina.pdf
Size:
2.16 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
Download
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description:
Download

Collections

Biology

All items in the YorkSpace institutional repository are protected by copyright, with all rights reserved except where explicitly noted.